<p>Distribution Network Reconfiguration (DNR) is a significant problem for<br />keeping the network running under normal conditions. In this study, for<br />preventing the premature convergence issue, also to improving the searching<br />ability of the Binary Particle Swarm Optimization (BPSO) algorithm, chaotic<br />strategy is incorporating with BPSO algorithm to create a new hybrid<br />algorithm called Chaotic BPSO (CBPSO). Undeniably, the chaotic strategy<br />enables the hybrid CBPSO algorithm to slip from the local optima and also to<br />reach optimal solution in fewer number of iterations compare to BPSO due to<br />the remarkable behavior and ergodic of the chaos strategy than random<br />search in BPSO algorithm. The CBPSO algorithm is presented as a<br />advantageous optimization tool for solving DNR. In this problem, decreasing<br />of real power loss () is an objective function while node voltage, system<br />radially and line current have been utilized as a constrains of the system. The<br />search space in this problem for the presented technique is a group of lines<br />(switches) that are normally opened or closed. Two types of loads are<br />presented: the constant and variable loads for testing the efficacy of the<br />CBPSO method for tackling DNR problem when the load is changes. The<br />proposed technique is implemented on IEEE Node system by utilizing<br />R2013b software for verifying the efficacy of CBPSO technique. The<br />simulation results confirm that technique has high ability in reducing and<br />raising the voltage profile of the grid compared to and other procedures in<br />the literature.</p>
Distribution Network Reconfiguration Based on Niche Binary Particle Swarm Optimization Algorithm
